Mayank Gupta

84 total papers · 567 total citations
34 papers, 231 citations indexed

About

Mayank Gupta is a scholar working on Artificial Intelligence, Epidemiology and Media Technology. According to data from OpenAlex, Mayank Gupta has authored 34 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Epidemiology and 3 papers in Media Technology. Recurrent topics in Mayank Gupta's work include Multidisciplinary Science and Engineering Research (2 papers), Smart Cities and Technologies (2 papers) and E-Government and Public Services (2 papers). Mayank Gupta is often cited by papers focused on Multidisciplinary Science and Engineering Research (2 papers), Smart Cities and Technologies (2 papers) and E-Government and Public Services (2 papers). Mayank Gupta collaborates with scholars based in India, United States and Netherlands. Mayank Gupta's co-authors include Marijn Janssen, Arpan Kumar Kar, P. Vigneswara Ilavarasan, Ravi Kothari, Vipul Gupta, D. K. Chaturvedi, Rohit Rastogi, Antonis C. Simintiras, Matti Mäntymäki and Yogesh K. Dwivedi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Environmental Research Letters.

In The Last Decade

Mayank Gupta

30 papers receiving 213 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mayank Gupta	47	35	29	28	25	34	231
Tomáš Sabol	27 0.6×	20 0.6×	32 1.1×	44 1.6×	22 0.9×	16	214
Daniel Rudmark	31 0.7×	52 1.5×	17 0.6×	76 2.7×	51 2.0×	19	199
Lorena Bătăgan	120 2.6×	26 0.7×	67 2.3×	50 1.8×	17 0.7×	26	288
Xuejiao Zhao	43 0.9×	65 1.9×	31 1.1×	100 3.6×	19 0.8×	15	289
Nasser A. Saif Almuraqab	38 0.8×	46 1.3×	29 1.0×	47 1.7×	34 1.4×	18	199
Achmad Djunaedi	56 1.2×	51 1.5×	94 3.2×	22 0.8×	37 1.5×	58	315
Arash Hajikhani	13 0.3×	42 1.2×	27 0.9×	11 0.4×	41 1.6×	27	247
Dimitrios Stamoulis	26 0.6×	18 0.5×	16 0.6×	53 1.9×	26 1.0×	39	308
Sven‐Volker Rehm	38 0.8×	36 1.0×	31 1.1×	7 0.3×	83 3.3×	21	251
Nina Rizun	14 0.3×	22 0.6×	39 1.3×	35 1.3×	11 0.4×	58	196

Countries citing papers authored by Mayank Gupta

Since Specialization

Citations

This map shows the geographic impact of Mayank Gupta's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mayank Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Gupta more than expected).

Fields of papers citing papers by Mayank Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayank Gupta. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mayank Gupta. The network helps show where Mayank Gupta may publish in the future.

Co-authorship network of co-authors of Mayank Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Gupta. A scholar is included among the top collaborators of Mayank Gupta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mayank Gupta. Mayank Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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